基于犹不决的模糊数字信息的动态人-位置匹配决策方法
Qi Yue1, Liezhang Liu2, Yuan Tao3
1School of Management, Shanghai University of Engineering Science, Shanghai, 201620, China.
Scientific reports
|February 15, 2024
概括
本研究介绍了一种使用犹不决的模糊数字进行人位置匹配的动态方法. 它通过考虑个人和职位的不断变化的满意度水平来优化候选人配置.
科学领域:
- 决策科学 决策科学
- 运营研究 运营研究
- 人力资源管理 人力资源管理
背景情况:
- 传统的人-位置匹配往往忽略了动态因素.
- "使人适合职位"和"使职位适合人"的原则越来越重要.
- 犹不决的模糊数字提供了一种强大的方法来处理评估中的不确定性.
研究的目的:
- 提出一种动态决策方法,用于使用犹不决的模糊数字进行人位匹配.
- 开发一个稳定的匹配模型,解释不断变化的个人和职位满意度.
- 根据动态标准优化对职位的候选人的选择.
主要方法:
- 描述动态人-位置匹配问题与犹的模糊数字.
- 计算候选人和职位的预期分数和满意度指标.
- 开发一个稳定的匹配模型,结合动态满意度,并使用一般化的最佳顺序和相关系数.
主要成果:
- 介绍了一种有效的方法来计算缺失的相关系数.
- 提出了一种新的动态满意度计算方法,将主导和缺失的相关系数整合起来.
- 提出的方法产生了一个最佳和稳定的人-位置匹配方案.
结论:
- 开发的动态人-位置匹配方法是可行的和有效的.
- 该模型通过考虑动态满意度,成功地建立了稳定的匹配.
- 这种方法增强了在人员选择和配置方面的决策.
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